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ChrisUPM_BioBERT_Re_trained-finetuned-lora-tweet_eval_irony

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Eval Results
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Finished training.

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  1. README.md +10 -10
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  args: irony
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  metrics:
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  - type: accuracy
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- value: 0.643979057591623
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  name: accuracy
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  ---
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@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ChrisUPM/BioBERT_Re_trained](https://huggingface.co/ChrisUPM/BioBERT_Re_trained) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6440
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  ## Model description
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@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5225 | None | 0 |
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- | 0.5613 | 0.7504 | 0 |
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- | 0.5853 | 0.6801 | 1 |
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- | 0.5874 | 0.6593 | 2 |
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- | 0.5958 | 0.6395 | 3 |
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- | 0.6147 | 0.6250 | 4 |
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- | 0.6052 | 0.6132 | 5 |
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- | 0.6398 | 0.6032 | 6 |
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- | 0.6440 | 0.5945 | 7 |
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  ### Framework versions
 
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  args: irony
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  metrics:
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  - type: accuracy
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+ value: 0.6397905759162303
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [ChrisUPM/BioBERT_Re_trained](https://huggingface.co/ChrisUPM/BioBERT_Re_trained) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6398
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5225 | None | 0 |
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+ | 0.5602 | 0.7475 | 0 |
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+ | 0.5885 | 0.6778 | 1 |
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+ | 0.5958 | 0.6625 | 2 |
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+ | 0.6042 | 0.6393 | 3 |
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+ | 0.6157 | 0.6164 | 4 |
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+ | 0.5958 | 0.6124 | 5 |
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+ | 0.6377 | 0.5983 | 6 |
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+ | 0.6398 | 0.5902 | 7 |
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  ### Framework versions
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